.
.
.
.
Only two percent of higher-ed leaders feel faculty are prepared to use AI in teaching, yet 68 percent believe AI will significantly enhance their research capabilities*. With research productivity declining by 5.3 percent annually**, the opportunity is clear.
We did our own research and spoke with academic researchers, IT innovators, and Google leaders to learn how agentic AI is already enhancing academic research:
- Multi-agent AI systems "move beyond data collection and simple analysis," helping researchers analyze vast datasets and synthesize literature at scale.
- AI co-scientists are accelerating hypothesis generation and evaluation by helping researchers refine their ideas quickly.
- Multiple institutions are using AI to scan grant applications, match potential collaborators, and improve funding success rates.
- Compliant, institution-specific AI ecosystems are accelerating time-to-discovery, time-to-science, and research impact.
*Source: AAC&U and Elon University Imagining the Digital Future Center. "Leading Through Disruption: Higher Education Executives Assess AI's Impacts on Teaching and Learning." January 2025.
**Source: American Economic Review. "Are Ideas Getting Harder to Find?." April 2020
This is Corporate Sponsor Content presented by The Chronicle of Higher Education. All content is provided by Google Cloud.